metaplus: Robust Meta-Analysis and Meta-Regression
Performs meta-analysis and meta-regression using standard and robust methods with confidence intervals based on the profile likelihood. Robust methods are based on alternative distributions for the random effect, either the t-distribution (Lee and Thompson, 2008 <doi:10.1002/sim.2897> or Baker and Jackson, 2008 <doi:10.1007/s10729-007-9041-8>) or mixtures of normals (Beath, 2014 <doi:10.1002/jrsm.1114>).
| Version: |
1.0-6 |
| Depends: |
R (≥ 3.2.0) |
| Imports: |
bbmle, metafor, boot, methods, numDeriv, MASS, graphics, stats, fastGHQuad, lme4, Rfast, parallel, doParallel, foreach |
| Suggests: |
R.rsp |
| Published: |
2025-01-23 |
| DOI: |
10.32614/CRAN.package.metaplus |
| Author: |
Ken Beath [aut, cre],
Ben Bolker [aut],
R Development Core Team [aut] |
| Maintainer: |
Ken Beath <ken at kjbeath.id.au> |
| Contact: |
Ken Beath <ken@kjbeath.id.au> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| Citation: |
metaplus citation info |
| Materials: |
NEWS |
| In views: |
MetaAnalysis, Robust |
| CRAN checks: |
metaplus results |
Documentation:
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